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Profile of mild behavioral impairment and factor structure of the Mild Behavioral Impairment Checklist in cognitively normal older adults

Published online by Cambridge University Press:  17 September 2019

Byron Creese ,
Alys Griffiths ,
Helen Brooker ,
Anne Corbett ,
Dag Aarsland ,
Clive Ballard  and
Zahinoor Ismail Open the ORCID record for Zahinoor Ismail [Opens in a new window]
Byron Creese*
Affiliation:
University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
Alys Griffiths
Affiliation:
Centre for Dementia Research, Leeds Beckett University, Leeds, UK
Helen Brooker
Affiliation:
University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
Anne Corbett
Affiliation:
University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
Dag Aarsland
Affiliation:
Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK Stavanger University Hospital, Stavanger, Norway
Clive Ballard
Affiliation:
University of Exeter Medical School, College of Medicine and Health, University of Exeter, Exeter, UK
Zahinoor Ismail
Affiliation:
Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
*
Correspondence should be addressed to: Byron Creese, University of Exeter Medical School, RILD Building, Barrack Road, Exeter, UK, EX2 2DW. Phone: 01392 724837. Email: b.creese@exeter.ac.uk.
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Abstract

Objectives:

In this large population study, we set out to examine the profile of mild behavioral impairment (MBI) by using the Mild Behavioral Impairment Checklist (MBI-C) and to explore its factor structure when employed as a self-reported and informant-rated tool.

Design:

This was a population-based cohort study.

Setting:

Participants were recruited from the Platform for Research Online to Investigate Genetics and Cognition in Aging study (https://www.protect-exeter.org.uk).

Participants:

A total of 5,742 participant-informant dyads participated in the study.

Measurements:

Both participants and informants completed the MBI-C. The factor structure of the MBI-C was evaluated by exploratory factor analysis.

Results:

The most common MBI-C items, as rated by self-reported and informants, related to affective dysregulation (mood/anxiety symptoms), being present in 34% and 38% of the sample, respectively. The least common items were those relating to abnormal thoughts and perception (psychotic symptoms) (present in 3% and 6% of the sample, respectively). Only weak correlations were observed between self-reported and informant-reported MBI-C responses. Exploratory factor analysis for both sets of respondent answers indicated that a five-factor solution for the MBI-C was appropriate, reflecting the hypothesized structure of the MBI-C.

Conclusion:

This is the largest and most detailed report on the frequency of MBI symptoms in a nondementia sample. The full spectrum of MBI symptoms was present in our sample, whether rated by self-reported or informant report. However, we show that the MBI-C performs differently in self-reported versus informant-reported situations, which may have important implications for the use of the questionnaire in clinic and research.

Keywords

MBI-CapathypsychosisdementiaSCD
Type
Original Research Article
Information
International Psychogeriatrics , Volume 32 , Issue 6: Issue Theme: Interaction of Depression and Cognition in Older Age , June 2020 , pp. 705 - 717
Copyright
© International Psychogeriatric Association 2019

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